Cited By
View all- Wang JXiang JUchino K(2016)Domain-Specific Recommendation by Matching Real Authors to Social Media UsersAdvances in Web-Based Learning – ICWL 201610.1007/978-3-319-47440-3_27(246-252)Online publication date: 1-Oct-2016
To improve the search results for socially-connect users, we propose a ranking framework, Social Network Document Rank (SNDocRank). This framework considers both document contents and the similarity between a searcher and document owners in a social ...
In search engines, ranking algorithms measure the importance and relevance of documents mainly based on the contents and relationships between documents. User attributes are usually not considered in ranking. This user-neutral approach, however, may not ...
Most of the existing Web search solutions are built for satisfying broad set of users regardless whether naïve or professionals. Further, with the emergence of high speed internet applications and advanced Web 2.0 based Rich Internet Applications (i.e. ...
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